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Proceedings ArticleDOI

A new method of text-independent speaker recognition

A. Higgins, +1 more
- Vol. 11, pp 869-872
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TLDR
A new method, based on template matching, that utilizes temporal information to advantage in text-dependent recognition as a special case and is compared with that of similar recently-developed methods.
Abstract
Text-independent speaker recognition methods have been based on measurements of long-term statistics of individual speech frames. These methods are not capable of modeling speaker-dependent speech dynamics. In this paper, we describe a new method, based on template matching, that utilizes temporal information to advantage. The template-matching method performs text-dependent recognition as a special case. Performance of the template-matching method is compared with that of similar recently-developed methods.

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Citations
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Journal ArticleDOI

Speaker recognition: a tutorial

TL;DR: A tutorial on the design and development of automatic speaker-recognition systems is presented and a new automatic speakers recognition system is given that performs with 98.9% correct decalcification.
Journal ArticleDOI

Neural network adaptive wavelets for signal representation and classification

TL;DR: The idea is introduced of a "super-wavelet," a linear combination of wavelets that itself is treated as a wavelet that allows the shape of the wavelet to adapt to a particular problem, which goes beyond adapting parameters of a fixed-shape wavelet.
Journal ArticleDOI

Recent advances in speaker recognition

TL;DR: Recent advances in speaker recognition technology include VQ- and ergodic-HMM-based text-independent recognition methods, a text-prompted recognition method, parameter/distance normalization and model adaptation techniques, and methods of updating models and a priori thresholds in speaker verification.
Book ChapterDOI

An Overview of Speaker Recognition Technology

Sadaoki Furui
TL;DR: This chapter overviews recent advances in speaker recognition technology and discusses general topics and issues, and more specific topics of recent interest which have led to interesting new approaches and techniques.
Journal ArticleDOI

Speaker verification: a tutorial

TL;DR: The task of speaker verification, a subset of the general problem of speaker recognition, is defined and the feature selection and pattern matching steps of the recognition procedure are examined.
References
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Proceedings ArticleDOI

A vector quantization approach to speaker recognition

TL;DR: A vector quantization (VQ) codebook was used as an efficient means of characterizing the short-time spectral features of a speaker and was used to recognize the identity of an unknown speaker from his/her unlabelled spoken utterances based on a minimum distance (distortion) classification rule.
Journal ArticleDOI

Long-term feature averaging for speaker recognition

TL;DR: It was demonstrated that the between-to-within speaker variance ratio was significantly increased by performing long-term averaging of the parameter sets, and the reflection coefficient averages for k 2 and k 6 were shown to produce the highest variance ratios.
Proceedings ArticleDOI

Keyword recognition using template concatenation

A. Higgins, +1 more
TL;DR: A simple new KWR method is presented and the results suggest that template-concatenation KWR methods can give good results for unrestricted input speech.
Proceedings ArticleDOI

Applying matrix quantization to isolated word recognition

TL;DR: A new approach to isolated word recognition is examined, based on an extension of vector quantization speech coding, called matrix quantizationspeech coding, that was developed by Tsao and Gray.
Proceedings ArticleDOI

A realtime implementation of a text independent speaker recognition system

E. Wrench
TL;DR: The results of this investigation clearly show that Markel's technique is superior for applications using very short speech segments for both the speaker models and the recognition trials.
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